|
""" from https://github.com/keithito/tacotron """ |
|
|
|
''' |
|
Cleaners are transformations that run over the input text at both training and eval time. |
|
|
|
Cleaners can be selected by passing a comma-delimited list of cleaner names as the "cleaners" |
|
hyperparameter. Some cleaners are English-specific. You'll typically want to use: |
|
1. "english_cleaners" for English text |
|
2. "transliteration_cleaners" for non-English text that can be transliterated to ASCII using |
|
the Unidecode library (https://pypi.python.org/pypi/Unidecode) |
|
3. "basic_cleaners" if you do not want to transliterate (in this case, you should also update |
|
the symbols in symbols.py to match your data). |
|
''' |
|
|
|
|
|
|
|
|
|
|
|
import re |
|
import inflect |
|
from unidecode import unidecode |
|
import eng_to_ipa as ipa |
|
_inflect = inflect.engine() |
|
_comma_number_re = re.compile(r'([0-9][0-9\,]+[0-9])') |
|
_decimal_number_re = re.compile(r'([0-9]+\.[0-9]+)') |
|
_pounds_re = re.compile(r'£([0-9\,]*[0-9]+)') |
|
_dollars_re = re.compile(r'\$([0-9\.\,]*[0-9]+)') |
|
_ordinal_re = re.compile(r'[0-9]+(st|nd|rd|th)') |
|
_number_re = re.compile(r'[0-9]+') |
|
|
|
|
|
_abbreviations = [(re.compile('\\b%s\\.' % x[0], re.IGNORECASE), x[1]) for x in [ |
|
('mrs', 'misess'), |
|
('mr', 'mister'), |
|
('dr', 'doctor'), |
|
('st', 'saint'), |
|
('co', 'company'), |
|
('jr', 'junior'), |
|
('maj', 'major'), |
|
('gen', 'general'), |
|
('drs', 'doctors'), |
|
('rev', 'reverend'), |
|
('lt', 'lieutenant'), |
|
('hon', 'honorable'), |
|
('sgt', 'sergeant'), |
|
('capt', 'captain'), |
|
('esq', 'esquire'), |
|
('ltd', 'limited'), |
|
('col', 'colonel'), |
|
('ft', 'fort'), |
|
]] |
|
|
|
|
|
|
|
_lazy_ipa = [(re.compile('%s' % x[0]), x[1]) for x in [ |
|
('r', 'ɹ'), |
|
('æ', 'e'), |
|
('ɑ', 'a'), |
|
('ɔ', 'o'), |
|
('ð', 'z'), |
|
('θ', 's'), |
|
('ɛ', 'e'), |
|
('ɪ', 'i'), |
|
('ʊ', 'u'), |
|
('ʒ', 'ʥ'), |
|
('ʤ', 'ʥ'), |
|
('ˈ', '↓'), |
|
]] |
|
|
|
|
|
_lazy_ipa2 = [(re.compile('%s' % x[0]), x[1]) for x in [ |
|
('r', 'ɹ'), |
|
('ð', 'z'), |
|
('θ', 's'), |
|
('ʒ', 'ʑ'), |
|
('ʤ', 'dʑ'), |
|
('ˈ', '↓'), |
|
]] |
|
|
|
|
|
_ipa_to_ipa2 = [(re.compile('%s' % x[0]), x[1]) for x in [ |
|
('r', 'ɹ'), |
|
('ʤ', 'dʒ'), |
|
('ʧ', 'tʃ') |
|
]] |
|
|
|
|
|
def expand_abbreviations(text): |
|
for regex, replacement in _abbreviations: |
|
text = re.sub(regex, replacement, text) |
|
return text |
|
|
|
|
|
def collapse_whitespace(text): |
|
return re.sub(r'\s+', ' ', text) |
|
|
|
|
|
def _remove_commas(m): |
|
return m.group(1).replace(',', '') |
|
|
|
|
|
def _expand_decimal_point(m): |
|
return m.group(1).replace('.', ' point ') |
|
|
|
|
|
def _expand_dollars(m): |
|
match = m.group(1) |
|
parts = match.split('.') |
|
if len(parts) > 2: |
|
return match + ' dollars' |
|
dollars = int(parts[0]) if parts[0] else 0 |
|
cents = int(parts[1]) if len(parts) > 1 and parts[1] else 0 |
|
if dollars and cents: |
|
dollar_unit = 'dollar' if dollars == 1 else 'dollars' |
|
cent_unit = 'cent' if cents == 1 else 'cents' |
|
return '%s %s, %s %s' % (dollars, dollar_unit, cents, cent_unit) |
|
elif dollars: |
|
dollar_unit = 'dollar' if dollars == 1 else 'dollars' |
|
return '%s %s' % (dollars, dollar_unit) |
|
elif cents: |
|
cent_unit = 'cent' if cents == 1 else 'cents' |
|
return '%s %s' % (cents, cent_unit) |
|
else: |
|
return 'zero dollars' |
|
|
|
|
|
def _expand_ordinal(m): |
|
return _inflect.number_to_words(m.group(0)) |
|
|
|
|
|
def _expand_number(m): |
|
num = int(m.group(0)) |
|
if num > 1000 and num < 3000: |
|
if num == 2000: |
|
return 'two thousand' |
|
elif num > 2000 and num < 2010: |
|
return 'two thousand ' + _inflect.number_to_words(num % 100) |
|
elif num % 100 == 0: |
|
return _inflect.number_to_words(num // 100) + ' hundred' |
|
else: |
|
return _inflect.number_to_words(num, andword='', zero='oh', group=2).replace(', ', ' ') |
|
else: |
|
return _inflect.number_to_words(num, andword='') |
|
|
|
|
|
def normalize_numbers(text): |
|
text = re.sub(_comma_number_re, _remove_commas, text) |
|
text = re.sub(_pounds_re, r'\1 pounds', text) |
|
text = re.sub(_dollars_re, _expand_dollars, text) |
|
text = re.sub(_decimal_number_re, _expand_decimal_point, text) |
|
text = re.sub(_ordinal_re, _expand_ordinal, text) |
|
text = re.sub(_number_re, _expand_number, text) |
|
return text |
|
|
|
|
|
def mark_dark_l(text): |
|
return re.sub(r'l([^aeiouæɑɔəɛɪʊ ]*(?: |$))', lambda x: 'ɫ'+x.group(1), text) |
|
|
|
|
|
def english_to_ipa(text): |
|
text = unidecode(text).lower() |
|
text = expand_abbreviations(text) |
|
text = normalize_numbers(text) |
|
phonemes = ipa.convert(text) |
|
phonemes = collapse_whitespace(phonemes) |
|
return phonemes |
|
|
|
|
|
def english_to_lazy_ipa(text): |
|
text = english_to_ipa(text) |
|
for regex, replacement in _lazy_ipa: |
|
text = re.sub(regex, replacement, text) |
|
return text |
|
|
|
|
|
def english_to_ipa2(text): |
|
text = english_to_ipa(text) |
|
text = mark_dark_l(text) |
|
for regex, replacement in _ipa_to_ipa2: |
|
text = re.sub(regex, replacement, text) |
|
return text.replace('...', '…') |
|
|
|
|
|
def english_to_lazy_ipa2(text): |
|
text = english_to_ipa(text) |
|
for regex, replacement in _lazy_ipa2: |
|
text = re.sub(regex, replacement, text) |
|
return text |
|
|
